Richardson, Benjamin; Sachin, Panda Kumar; Schecter, Aaron (June 2024). One Bad Apple: The Spillover Effect of Algorithmic Aversion. In: ECIS 2024 Proceedings.
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In an era increasingly reliant on algorithms, understanding user interactions with these technologies is crucial. This study explores the phenomenon of algorithmic aversion, particularly the spillover effect—how observing poor performance of one algorithm can impact aversion toward other, unrelated algorithms. We investigate the role of divergent thinking as a potential moderating factor and introduce the novel concept of human-AI collective efficacy as a mechanism via which the spillover effect occurs. This study employs a survey-based experiment, involving various algorithmically augmented tasks to assess the spillover effect of algorithmic aversion. Our research aims to expand the discourse on algorithmic aversion, providing insights into salient human-AI relationships, with implications for both theoretical frameworks and practical applications in developing user-centric algorithms.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Engineering 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems |
UniBE Contributor: |
Sachin, Panda Kumar |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology > 330 Economics |
Language: |
English |
Submitter: |
Jana Amra Lüscher |
Date Deposited: |
14 May 2024 09:44 |
Last Modified: |
14 May 2024 09:44 |
BORIS DOI: |
10.48350/196592 |
URI: |
https://boris.unibe.ch/id/eprint/196592 |
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